Overview

Dataset statistics

Number of variables20
Number of observations1000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory156.4 KiB
Average record size in memory160.1 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 00:36:17.469415
Analysis finished2020-08-25 00:37:27.147549
Duration1 minute and 9.68 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

oz9 has unique values Unique
oz17 has unique values Unique
oz1 has unique values Unique
oz24 has unique values Unique
oz12 has unique values Unique
oz10 has unique values Unique
oz14 has unique values Unique
oz2 has unique values Unique
oz23 has unique values Unique
oz6 has unique values Unique
oz3 has unique values Unique
oz13 has unique values Unique
oz16 has unique values Unique
oz4 has unique values Unique
oz5 has unique values Unique
oz21 has unique values Unique
oz18 has unique values Unique
oz22 has unique values Unique
oz19 has unique values Unique
target has unique values Unique

Variables

oz9
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.991873770952225e-11
Minimum-1.6792153120040894
Maximum1.717131733894348
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:37:27.197253image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.679215312
5-th percentile-1.509105128
Q1-0.9117174596
median0.02592289355
Q30.8692990839
95-th percentile1.573285002
Maximum1.717131734
Range3.396347046
Interquartile range (IQR)1.781016544

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)3.342387005e+10
Kurtosis-1.25560967
Mean2.991873771e-11
Median Absolute Deviation (MAD)0.891824007
Skewness0.001549534969
Sum2.991873771e-08
Variance1.000000002
2020-08-25T00:37:27.300234image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.11717855910.1%
 
0.616951882810.1%
 
-0.487642854510.1%
 
-1.20838189110.1%
 
-0.742859840410.1%
 
1.23962247410.1%
 
-1.1744289410.1%
 
-1.15757858810.1%
 
1.63023066510.1%
 
-0.152509152910.1%
 
-1.38804149610.1%
 
0.387841910110.1%
 
-0.344078034210.1%
 
-0.263022661210.1%
 
-0.975908398610.1%
 
0.656898677310.1%
 
-0.314144700810.1%
 
1.58619439610.1%
 
0.320635795610.1%
 
-1.21613347510.1%
 
0.270185828210.1%
 
-1.43878567210.1%
 
1.12627470510.1%
 
-0.0830872207910.1%
 
-1.47001445310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.67921531210.1%
 
-1.67778658910.1%
 
-1.67431664510.1%
 
-1.66869354210.1%
 
-1.66824245510.1%
 
-1.66653895410.1%
 
-1.65841972810.1%
 
-1.65650296210.1%
 
-1.65606534510.1%
 
-1.65060436710.1%
 
ValueCountFrequency (%) 
1.71713173410.1%
 
1.71390533410.1%
 
1.71279585410.1%
 
1.71276545510.1%
 
1.71255922310.1%
 
1.70167791810.1%
 
1.68398916710.1%
 
1.68375301410.1%
 
1.6821057810.1%
 
1.67887914210.1%
 

oz17
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.906331352889538e-10
Minimum-1.758844971656799
Maximum1.7228225469589231
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:37:27.414860image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.758844972
5-th percentile-1.563183904
Q1-0.8658335209
median0.04917557724
Q30.8636299521
95-th percentile1.56288231
Maximum1.722822547
Range3.481667519
Interquartile range (IQR)1.729463473

Descriptive statistics

Standard deviation0.9999999997
Coefficient of variation (CV)1693098372
Kurtosis-1.214212327
Mean5.906331353e-10
Median Absolute Deviation (MAD)0.8543987572
Skewness-0.01944285454
Sum5.906331353e-07
Variance0.9999999994
2020-08-25T00:37:27.518253image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.974608898210.1%
 
0.398110598310.1%
 
1.65753018910.1%
 
0.208361893910.1%
 
1.70208871410.1%
 
-0.952487170710.1%
 
-1.08532893710.1%
 
0.105633810210.1%
 
1.44883561110.1%
 
-0.732011020210.1%
 
-1.11412906610.1%
 
0.617815554110.1%
 
0.997419714910.1%
 
0.6842194210.1%
 
0.453270196910.1%
 
0.707653522510.1%
 
1.71210837410.1%
 
-0.711775362510.1%
 
0.213533103510.1%
 
1.29029178610.1%
 
-1.69263386710.1%
 
-0.8172791610.1%
 
0.944577693910.1%
 
0.0661877766310.1%
 
0.107741296310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.75884497210.1%
 
-1.74694144710.1%
 
-1.74042773210.1%
 
-1.73711037610.1%
 
-1.7209209210.1%
 
-1.71468174510.1%
 
-1.70765411910.1%
 
-1.70742499810.1%
 
-1.69905841410.1%
 
-1.6961432710.1%
 
ValueCountFrequency (%) 
1.72282254710.1%
 
1.71210837410.1%
 
1.70868086810.1%
 
1.70776414910.1%
 
1.70208871410.1%
 
1.70172965510.1%
 
1.69957423210.1%
 
1.69743025310.1%
 
1.68814873710.1%
 
1.68470835710.1%
 

oz1
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.805647328495979e-11
Minimum-2.4033026695251465
Maximum2.3708300590515137
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:37:27.633447image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.40330267
5-th percentile-1.613715118
Q1-0.7708795816
median-0.02016924322
Q30.7730762661
95-th percentile1.665942264
Maximum2.370830059
Range4.774132729
Interquartile range (IQR)1.543955848

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)-1.28112373e+10
Kurtosis-0.7997867002
Mean-7.805647328e-11
Median Absolute Deviation (MAD)0.7707782686
Skewness0.03091197116
Sum-7.805647328e-08
Variance1.000000004
2020-08-25T00:37:27.737412image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.814452290510.1%
 
0.23405025910.1%
 
-0.250337600710.1%
 
0.721395671410.1%
 
-1.07696020610.1%
 
-2.13057947210.1%
 
1.86585342910.1%
 
-0.0353198833810.1%
 
-0.58269566310.1%
 
-1.31772971210.1%
 
-0.0544846653910.1%
 
-1.1722352510.1%
 
-1.6067849410.1%
 
-0.426429778310.1%
 
0.836887240410.1%
 
0.419270932710.1%
 
0.235018745110.1%
 
-0.485675603210.1%
 
-1.0794169910.1%
 
0.746738016610.1%
 
-1.01300609110.1%
 
1.82940828810.1%
 
-0.478450834810.1%
 
1.22392749810.1%
 
1.2174805410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-2.4033026710.1%
 
-2.30289268510.1%
 
-2.28034281710.1%
 
-2.22453260410.1%
 
-2.21879720710.1%
 
-2.13337588310.1%
 
-2.13057947210.1%
 
-2.12352871910.1%
 
-2.12103128410.1%
 
-2.09268069310.1%
 
ValueCountFrequency (%) 
2.37083005910.1%
 
2.27181100810.1%
 
2.14670944210.1%
 
2.11900687210.1%
 
2.10492396410.1%
 
2.08378672610.1%
 
2.06784510610.1%
 
2.05731821110.1%
 
2.03560805310.1%
 
2.00044345910.1%
 

oz24
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1241063475608826e-09
Minimum-1.7731262445449831
Maximum1.7041548490524292
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:37:27.852825image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.773126245
5-th percentile-1.57052297
Q1-0.8766833544
median0.04025362805
Q30.8693788946
95-th percentile1.51918155
Maximum1.704154849
Range3.477281094
Interquartile range (IQR)1.746062249

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)889595547.3
Kurtosis-1.204036845
Mean1.124106348e-09
Median Absolute Deviation (MAD)0.8697375357
Skewness-0.06345405279
Sum1.124106348e-06
Variance1.000000003
2020-08-25T00:37:27.957146image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.296872794610.1%
 
-0.0899286121110.1%
 
-0.862031042610.1%
 
0.625700175810.1%
 
1.29436552510.1%
 
1.0599882610.1%
 
-0.717488169710.1%
 
-1.53653526310.1%
 
1.6626845610.1%
 
1.18496727910.1%
 
-0.592480182610.1%
 
-0.426730930810.1%
 
0.973337411910.1%
 
0.434229940210.1%
 
0.173509657410.1%
 
-0.928412079810.1%
 
-1.16536164310.1%
 
-0.465576350710.1%
 
1.02087557310.1%
 
-1.4310293210.1%
 
0.980622112810.1%
 
-0.555355429610.1%
 
-0.383144050810.1%
 
0.421229779710.1%
 
1.62632250810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.77312624510.1%
 
-1.76519894610.1%
 
-1.76339030310.1%
 
-1.76262688610.1%
 
-1.74849271810.1%
 
-1.74810385710.1%
 
-1.74497854710.1%
 
-1.7448364510.1%
 
-1.74426579510.1%
 
-1.74152600810.1%
 
ValueCountFrequency (%) 
1.70415484910.1%
 
1.7036707410.1%
 
1.70212912610.1%
 
1.69791626910.1%
 
1.69635629710.1%
 
1.69356262710.1%
 
1.69266915310.1%
 
1.6901534810.1%
 
1.68628013110.1%
 
1.68032002410.1%
 

oz12
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2.1973392039242866e-10
Minimum-1.6682056188583374
Maximum1.7404135465621948
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:37:28.074071image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.668205619
5-th percentile-1.518762439
Q1-0.8557804823
median-0.02073433809
Q30.865857929
95-th percentile1.58945806
Maximum1.740413547
Range3.408619165
Interquartile range (IQR)1.721638411

Descriptive statistics

Standard deviation0.999999999
Coefficient of variation (CV)-4550958710
Kurtosis-1.21876652
Mean-2.197339204e-10
Median Absolute Deviation (MAD)0.862871917
Skewness0.05240768579
Sum-2.197339204e-07
Variance0.9999999979
2020-08-25T00:37:28.179706image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1.42337322210.1%
 
-0.107263281910.1%
 
-1.54829740510.1%
 
-1.61860728310.1%
 
-0.73508387810.1%
 
1.29155206710.1%
 
-0.963597118910.1%
 
-1.39984893810.1%
 
1.28265368910.1%
 
0.862028539210.1%
 
1.45452344410.1%
 
1.2865538610.1%
 
0.755909681310.1%
 
1.56570851810.1%
 
-1.06388139710.1%
 
-1.05605268510.1%
 
-0.531901717210.1%
 
0.0524107739310.1%
 
1.16932773610.1%
 
0.834661841410.1%
 
1.68493294710.1%
 
0.167159482810.1%
 
-1.55601906810.1%
 
-1.32554972210.1%
 
0.0497241541710.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.66820561910.1%
 
-1.66575384110.1%
 
-1.6641212710.1%
 
-1.6638288510.1%
 
-1.65380001110.1%
 
-1.64964735510.1%
 
-1.64652955510.1%
 
-1.64501905410.1%
 
-1.64398181410.1%
 
-1.64126074310.1%
 
ValueCountFrequency (%) 
1.74041354710.1%
 
1.73838186310.1%
 
1.73817193510.1%
 
1.73757243210.1%
 
1.73669195210.1%
 
1.7346975810.1%
 
1.73240709310.1%
 
1.72823250310.1%
 
1.72305798510.1%
 
1.72130370110.1%
 

oz10
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.862645149230957e-12
Minimum-1.7202579975128174
Maximum1.7585191726684568
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:37:28.296496image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.720257998
5-th percentile-1.554624754
Q1-0.8875012696
median-0.01093475055
Q30.8357724547
95-th percentile1.57721132
Maximum1.758519173
Range3.47877717
Interquartile range (IQR)1.723273724

Descriptive statistics

Standard deviation0.9999999991
Coefficient of variation (CV)-5.368709115e+11
Kurtosis-1.185235819
Mean-1.862645149e-12
Median Absolute Deviation (MAD)0.8602652354
Skewness0.018129438
Sum-1.862645149e-09
Variance0.9999999982
2020-08-25T00:37:28.400709image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.882811605910.1%
 
1.74864625910.1%
 
-0.913818895810.1%
 
-0.508513987110.1%
 
-0.151042893510.1%
 
0.112066768110.1%
 
-1.49748551810.1%
 
0.588583946210.1%
 
-0.0422796122710.1%
 
-1.24747502810.1%
 
-1.54434764410.1%
 
-1.38027799110.1%
 
-1.61102390310.1%
 
1.42524671610.1%
 
0.162279665510.1%
 
1.50915777710.1%
 
0.727211654210.1%
 
-0.377286970610.1%
 
0.678401708610.1%
 
1.20054912610.1%
 
1.50132632310.1%
 
0.139363303810.1%
 
1.11460089710.1%
 
1.70571625210.1%
 
-1.57656836510.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.72025799810.1%
 
-1.71438443710.1%
 
-1.71029019410.1%
 
-1.70830595510.1%
 
-1.7013641610.1%
 
-1.69951093210.1%
 
-1.6972619310.1%
 
-1.68261742610.1%
 
-1.67389249810.1%
 
-1.67346155610.1%
 
ValueCountFrequency (%) 
1.75851917310.1%
 
1.74864625910.1%
 
1.74670922810.1%
 
1.74086344210.1%
 
1.73978376410.1%
 
1.73688614410.1%
 
1.7336814410.1%
 
1.72906887510.1%
 
1.72565209910.1%
 
1.7197525510.1%
 

oz14
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.882458597421646e-10
Minimum-1.7814172506332395
Maximum1.7398680448532104
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:37:28.517542image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.781417251
5-th percentile-1.545046347
Q1-0.8506755829
median-0.004272513906
Q30.8365253061
95-th percentile1.587988549
Maximum1.739868045
Range3.521285295
Interquartile range (IQR)1.687200889

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)2048148449
Kurtosis-1.15536375
Mean4.882458597e-10
Median Absolute Deviation (MAD)0.8433895343
Skewness0.01015390442
Sum4.882458597e-07
Variance1.000000001
2020-08-25T00:37:28.632037image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.217284694310.1%
 
-0.095295675110.1%
 
-1.11017334510.1%
 
-1.43104100210.1%
 
1.66931974910.1%
 
-0.307954698810.1%
 
-0.276700168810.1%
 
0.899102091810.1%
 
0.447595983710.1%
 
1.53647518210.1%
 
1.70563721710.1%
 
-1.43099725210.1%
 
-0.106273658610.1%
 
1.59895384310.1%
 
-1.04817545410.1%
 
0.940099358610.1%
 
0.520154416610.1%
 
-0.405595332410.1%
 
1.20440912210.1%
 
-0.889313280610.1%
 
-1.05965256710.1%
 
1.095028410.1%
 
-1.70830762410.1%
 
-0.623684585110.1%
 
0.882383227310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.78141725110.1%
 
-1.7743662610.1%
 
-1.76356685210.1%
 
-1.74919354910.1%
 
-1.73905849510.1%
 
-1.7386521110.1%
 
-1.72958254810.1%
 
-1.72478771210.1%
 
-1.72351634510.1%
 
-1.72295701510.1%
 
ValueCountFrequency (%) 
1.73986804510.1%
 
1.72978055510.1%
 
1.72953033410.1%
 
1.72866785510.1%
 
1.72797727610.1%
 
1.72459590410.1%
 
1.72064590510.1%
 
1.71400678210.1%
 
1.71008253110.1%
 
1.70732319410.1%
 

oz2
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4872057363390923e-09
Minimum-1.7141587734222412
Maximum1.7076355218887331
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:37:28.749789image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.714158773
5-th percentile-1.550908965
Q1-0.8644385338
median0.004400574777
Q30.8861115873
95-th percentile1.559615791
Maximum1.707635522
Range3.421794295
Interquartile range (IQR)1.750550121

Descriptive statistics

Standard deviation0.9999999991
Coefficient of variation (CV)672401924.4
Kurtosis-1.21850958
Mean1.487205736e-09
Median Absolute Deviation (MAD)0.8788492318
Skewness0.003227676706
Sum1.487205736e-06
Variance0.9999999982
2020-08-25T00:37:28.854350image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.417966812810.1%
 
-1.58198308910.1%
 
0.614485800310.1%
 
1.20649385510.1%
 
-0.290383517710.1%
 
1.18105888410.1%
 
1.12636685410.1%
 
-1.45448350910.1%
 
-0.243330523410.1%
 
1.15366995310.1%
 
0.806164920310.1%
 
0.79320228110.1%
 
1.4661613710.1%
 
1.09897136710.1%
 
0.147081732710.1%
 
-0.0350812412810.1%
 
1.53250014810.1%
 
1.62997424610.1%
 
-1.25364828110.1%
 
1.28483092810.1%
 
-0.431962788110.1%
 
0.969390511510.1%
 
1.02862060110.1%
 
-0.428052425410.1%
 
-0.840478658710.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.71415877310.1%
 
-1.70538818810.1%
 
-1.6991614110.1%
 
-1.69327604810.1%
 
-1.69148170910.1%
 
-1.69062995910.1%
 
-1.68899571910.1%
 
-1.6807081710.1%
 
-1.67940914610.1%
 
-1.67863261710.1%
 
ValueCountFrequency (%) 
1.70763552210.1%
 
1.69767224810.1%
 
1.69739854310.1%
 
1.69096207610.1%
 
1.68954014810.1%
 
1.68721401710.1%
 
1.68719255910.1%
 
1.67706775710.1%
 
1.67507600810.1%
 
1.66972196110.1%
 

oz23
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5146797522902488e-09
Minimum-1.7424653768539429
Maximum1.759921669960022
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:37:28.972992image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.742465377
5-th percentile-1.590080237
Q1-0.8092505336
median0.003374789318
Q30.8355152011
95-th percentile1.574875575
Maximum1.75992167
Range3.502387047
Interquartile range (IQR)1.644765735

Descriptive statistics

Standard deviation0.9999999996
Coefficient of variation (CV)-660205563.6
Kurtosis-1.136149931
Mean-1.514679752e-09
Median Absolute Deviation (MAD)0.8234955925
Skewness-0.00141252013
Sum-1.514679752e-06
Variance0.9999999992
2020-08-25T00:37:29.078594image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.55076992510.1%
 
-0.858431398910.1%
 
0.25229489810.1%
 
0.47104445110.1%
 
0.510445654410.1%
 
0.572915136810.1%
 
-0.923151552710.1%
 
-0.867862284210.1%
 
0.678407788310.1%
 
0.140793085110.1%
 
1.75525081210.1%
 
0.0183507390310.1%
 
-1.12366855110.1%
 
1.65758025610.1%
 
0.555312871910.1%
 
0.93229991210.1%
 
0.338986486210.1%
 
0.809252202510.1%
 
1.21225309410.1%
 
-1.14753758910.1%
 
1.63021147310.1%
 
-0.181314855810.1%
 
-0.586585044910.1%
 
0.753335833510.1%
 
-0.881504595310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.74246537710.1%
 
-1.74108564910.1%
 
-1.736316810.1%
 
-1.72179245910.1%
 
-1.71691179310.1%
 
-1.71480679510.1%
 
-1.71159267410.1%
 
-1.70937585810.1%
 
-1.70129954810.1%
 
-1.7012269510.1%
 
ValueCountFrequency (%) 
1.7599216710.1%
 
1.75805425610.1%
 
1.75525081210.1%
 
1.75312805210.1%
 
1.73970580110.1%
 
1.73099958910.1%
 
1.72457325510.1%
 
1.72085905110.1%
 
1.71828591810.1%
 
1.71438419810.1%
 

oz6
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-7.986091086209512e-10
Minimum-1.7084212303161619
Maximum1.7163851261138916
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:37:29.194850image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.70842123
5-th percentile-1.562197292
Q1-0.8485967517
median0.02038080152
Q30.8462498933
95-th percentile1.564253139
Maximum1.716385126
Range3.424806356
Interquartile range (IQR)1.694846645

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-1252177054
Kurtosis-1.17961851
Mean-7.986091086e-10
Median Absolute Deviation (MAD)0.8439538181
Skewness-0.03354669164
Sum-7.986091086e-07
Variance1.000000001
2020-08-25T00:37:29.299845image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.902343630810.1%
 
-0.171066418310.1%
 
-1.5643936410.1%
 
-0.260112732610.1%
 
-0.461074352310.1%
 
0.574907660510.1%
 
-1.45974504910.1%
 
-1.12246811410.1%
 
0.801465868910.1%
 
-0.164721593310.1%
 
-1.45097684910.1%
 
-0.769552290410.1%
 
0.298489689810.1%
 
1.64197659510.1%
 
-1.68103492310.1%
 
0.298187136710.1%
 
-1.20568740410.1%
 
1.55172324210.1%
 
-0.148116216110.1%
 
0.395840704410.1%
 
-0.509101390810.1%
 
0.760988593110.1%
 
-1.51302301910.1%
 
-0.938516974410.1%
 
-0.722065806410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.7084212310.1%
 
-1.70751035210.1%
 
-1.70711827310.1%
 
-1.70410835710.1%
 
-1.70015132410.1%
 
-1.70005154610.1%
 
-1.70002996910.1%
 
-1.69871783310.1%
 
-1.69615960110.1%
 
-1.69559502610.1%
 
ValueCountFrequency (%) 
1.71638512610.1%
 
1.70836114910.1%
 
1.70777761910.1%
 
1.70469248310.1%
 
1.69859337810.1%
 
1.69663906110.1%
 
1.69253456610.1%
 
1.67909753310.1%
 
1.67740738410.1%
 
1.67186963610.1%
 

oz3
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-4.119938239455223e-10
Minimum-1.6882081031799316
Maximum1.773222804069519
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:37:29.590406image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.688208103
5-th percentile-1.557568061
Q1-0.8591014445
median-0.008389570517
Q30.879038617
95-th percentile1.559093326
Maximum1.773222804
Range3.461430907
Interquartile range (IQR)1.738140061

Descriptive statistics

Standard deviation0.9999999979
Coefficient of variation (CV)-2427220846
Kurtosis-1.187704233
Mean-4.119938239e-10
Median Absolute Deviation (MAD)0.8551644303
Skewness0.02730346843
Sum-4.119938239e-07
Variance0.9999999959
2020-08-25T00:37:29.693191image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.349383056210.1%
 
-0.887372791810.1%
 
-1.58338916310.1%
 
-1.61192846310.1%
 
-0.762393772610.1%
 
-0.863954007610.1%
 
-0.573770642310.1%
 
-1.55725359910.1%
 
-1.29821002510.1%
 
1.4974234110.1%
 
-0.541679084310.1%
 
1.00132012410.1%
 
-1.28256785910.1%
 
0.543627321710.1%
 
0.388022720810.1%
 
-1.16537070310.1%
 
-0.167149260610.1%
 
0.758464515210.1%
 
-1.68488895910.1%
 
-1.51691925510.1%
 
-0.0935865044610.1%
 
0.586581647410.1%
 
0.906893193710.1%
 
1.07655465610.1%
 
-0.615875661410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.68820810310.1%
 
-1.68488895910.1%
 
-1.68199634610.1%
 
-1.68117964310.1%
 
-1.68022942510.1%
 
-1.67877674110.1%
 
-1.67567050510.1%
 
-1.67148220510.1%
 
-1.66956555810.1%
 
-1.66950094710.1%
 
ValueCountFrequency (%) 
1.77322280410.1%
 
1.76960742510.1%
 
1.76805579710.1%
 
1.7616765510.1%
 
1.75499355810.1%
 
1.75465905710.1%
 
1.75403726110.1%
 
1.75305652610.1%
 
1.75148034110.1%
 
1.74611794910.1%
 

oz13
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.812586560845375e-10
Minimum-1.6960829496383667
Maximum1.7513365745544434
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:37:29.807674image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.69608295
5-th percentile-1.535872799
Q1-0.8423918039
median-0.06317915767
Q30.8673689812
95-th percentile1.599598926
Maximum1.751336575
Range3.447419524
Interquartile range (IQR)1.709760785

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)-5516977904
Kurtosis-1.197515661
Mean-1.812586561e-10
Median Absolute Deviation (MAD)0.8646305725
Skewness0.07671908732
Sum-1.812586561e-07
Variance1.000000001
2020-08-25T00:37:29.913369image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.31849336610.1%
 
1.69852280610.1%
 
0.547567188710.1%
 
-1.6441618210.1%
 
-1.27871489510.1%
 
1.59958863310.1%
 
0.345067918310.1%
 
-1.67714154710.1%
 
1.32948350910.1%
 
0.167650163210.1%
 
0.779888749110.1%
 
-0.985651671910.1%
 
0.493499249210.1%
 
1.75133657510.1%
 
0.887384772310.1%
 
-1.19663298110.1%
 
-0.332923948810.1%
 
0.496421933210.1%
 
0.361546158810.1%
 
-0.935090422610.1%
 
1.62370145310.1%
 
-0.815100371810.1%
 
0.249350115710.1%
 
0.577055096610.1%
 
-1.22527754310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.6960829510.1%
 
-1.69097173210.1%
 
-1.69044971510.1%
 
-1.68641209610.1%
 
-1.68500435410.1%
 
-1.68441259910.1%
 
-1.67714154710.1%
 
-1.67493653310.1%
 
-1.66690969510.1%
 
-1.66590201910.1%
 
ValueCountFrequency (%) 
1.75133657510.1%
 
1.74983167610.1%
 
1.74936807210.1%
 
1.74522125710.1%
 
1.73838603510.1%
 
1.73231196410.1%
 
1.7293561710.1%
 
1.72880804510.1%
 
1.72799837610.1%
 
1.72745621210.1%
 

oz16
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.173466444015503e-10
Minimum-1.766209840774536
Maximum1.6919641494750977
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:37:30.031102image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.766209841
5-th percentile-1.594633085
Q1-0.831776768
median-0.02107932791
Q30.8611248434
95-th percentile1.533877879
Maximum1.691964149
Range3.45817399
Interquartile range (IQR)1.692901611

Descriptive statistics

Standard deviation0.9999999997
Coefficient of variation (CV)-8521760506
Kurtosis-1.182172769
Mean-1.173466444e-10
Median Absolute Deviation (MAD)0.8484427594
Skewness-0.04305414752
Sum-1.173466444e-07
Variance0.9999999994
2020-08-25T00:37:30.135696image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.196287915110.1%
 
0.776049017910.1%
 
0.55487203610.1%
 
0.815512239910.1%
 
1.00527012310.1%
 
1.35820531810.1%
 
-0.388947397510.1%
 
1.40881025810.1%
 
-0.180304795510.1%
 
-0.278655320410.1%
 
-0.948325395610.1%
 
1.11460995710.1%
 
0.819022297910.1%
 
0.725273072710.1%
 
-0.189742505610.1%
 
-0.512375295210.1%
 
0.448550552110.1%
 
1.36402082410.1%
 
-1.57161009310.1%
 
1.08332264410.1%
 
1.07683420210.1%
 
0.709628999210.1%
 
0.167640864810.1%
 
1.20049965410.1%
 
-0.723970353610.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.76620984110.1%
 
-1.76586365710.1%
 
-1.74847006810.1%
 
-1.74768686310.1%
 
-1.74754464610.1%
 
-1.74722850310.1%
 
-1.74584281410.1%
 
-1.74064528910.1%
 
-1.73852050310.1%
 
-1.7353609810.1%
 
ValueCountFrequency (%) 
1.69196414910.1%
 
1.68652355710.1%
 
1.68328189810.1%
 
1.68236184110.1%
 
1.6801232110.1%
 
1.67759132410.1%
 
1.67513728110.1%
 
1.67294645310.1%
 
1.66944181910.1%
 
1.66615688810.1%
 

oz4
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9156293496489527e-10
Minimum-1.7630112171173096
Maximum1.7440536022186282
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:37:30.254878image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.763011217
5-th percentile-1.585371774
Q1-0.8468155116
median0.0357409846
Q30.8619464785
95-th percentile1.554723608
Maximum1.744053602
Range3.507064819
Interquartile range (IQR)1.70876199

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)2553867877
Kurtosis-1.178666827
Mean3.91562935e-10
Median Absolute Deviation (MAD)0.8576348424
Skewness-0.03998878801
Sum3.91562935e-07
Variance1.000000003
2020-08-25T00:37:30.357841image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.13281035410.1%
 
1.55596005910.1%
 
0.731131255610.1%
 
-0.492517113710.1%
 
-0.30692255510.1%
 
-1.04818761310.1%
 
0.390662044310.1%
 
1.24348604710.1%
 
0.973797738610.1%
 
-1.25519752510.1%
 
-1.44060742910.1%
 
-1.4433511510.1%
 
0.986968040510.1%
 
0.846341192710.1%
 
-1.41143095510.1%
 
-1.10810649410.1%
 
-0.0703882500510.1%
 
0.453442066910.1%
 
-0.12214922910.1%
 
-0.500631153610.1%
 
-0.770158827310.1%
 
-0.388008594510.1%
 
1.04943275510.1%
 
-1.53014135410.1%
 
0.0824486836810.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.76301121710.1%
 
-1.7618665710.1%
 
-1.76141786610.1%
 
-1.75229680510.1%
 
-1.75228440810.1%
 
-1.74891316910.1%
 
-1.74165511110.1%
 
-1.72892415510.1%
 
-1.7286596310.1%
 
-1.72504913810.1%
 
ValueCountFrequency (%) 
1.74405360210.1%
 
1.73790347610.1%
 
1.73611855510.1%
 
1.73598790210.1%
 
1.72650623310.1%
 
1.72421824910.1%
 
1.71478545710.1%
 
1.70961904510.1%
 
1.70678377210.1%
 
1.7066618210.1%
 

oz5
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.781766958534717e-10
Minimum-1.7399917840957642
Maximum1.6833113431930542
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:37:30.473364image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.739991784
5-th percentile-1.583056289
Q1-0.875746876
median-0.01108241826
Q30.8698584735
95-th percentile1.523730373
Maximum1.683311343
Range3.423303127
Interquartile range (IQR)1.74560535

Descriptive statistics

Standard deviation1.000000002
Coefficient of variation (CV)1729575074
Kurtosis-1.192154466
Mean5.781766959e-10
Median Absolute Deviation (MAD)0.8684280589
Skewness-0.01524100965
Sum5.781766959e-07
Variance1.000000003
2020-08-25T00:37:30.576000image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.0808342710.1%
 
-1.6497672810.1%
 
0.350928366210.1%
 
-1.12366545210.1%
 
1.3763598210.1%
 
-0.649116158510.1%
 
0.0287687182410.1%
 
0.205879494510.1%
 
1.55213022210.1%
 
-0.973330736210.1%
 
1.37634384610.1%
 
0.376310825310.1%
 
1.31774234810.1%
 
-1.0482091910.1%
 
1.45962715110.1%
 
-1.16538870310.1%
 
1.57937121410.1%
 
0.656908094910.1%
 
-1.65386760210.1%
 
-1.45443105710.1%
 
-0.610517084610.1%
 
1.37760579610.1%
 
-1.53776454910.1%
 
0.500647723710.1%
 
1.00519454510.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.73999178410.1%
 
-1.73936474310.1%
 
-1.73760354510.1%
 
-1.7367721810.1%
 
-1.73541545910.1%
 
-1.73153185810.1%
 
-1.72836279910.1%
 
-1.72662413110.1%
 
-1.72640585910.1%
 
-1.72342395810.1%
 
ValueCountFrequency (%) 
1.68331134310.1%
 
1.68191683310.1%
 
1.67903590210.1%
 
1.67795848810.1%
 
1.67786204810.1%
 
1.67755818410.1%
 
1.67590236710.1%
 
1.67466151710.1%
 
1.67419195210.1%
 
1.67273187610.1%
 

oz21
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.051099388860166e-09
Minimum-1.7236764430999756
Maximum1.7896718978881836
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:37:30.691302image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.723676443
5-th percentile-1.566660887
Q1-0.8246730119
median-0.003682801616
Q30.831905365
95-th percentile1.578422874
Maximum1.789671898
Range3.513348341
Interquartile range (IQR)1.656578377

Descriptive statistics

Standard deviation1.000000001
Coefficient of variation (CV)951384818.4
Kurtosis-1.148284719
Mean1.051099389e-09
Median Absolute Deviation (MAD)0.8257086575
Skewness0.01438129754
Sum1.051099389e-06
Variance1.000000002
2020-08-25T00:37:30.793889image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.185546636610.1%
 
1.56000006210.1%
 
1.4440039410.1%
 
-0.838106036210.1%
 
-1.28659832510.1%
 
-0.936264693710.1%
 
-1.10299396510.1%
 
0.985089421310.1%
 
-1.44388413410.1%
 
0.442739158910.1%
 
-0.724400401110.1%
 
0.031660586610.1%
 
-0.55539548410.1%
 
-1.69780397410.1%
 
-1.19672143510.1%
 
0.263046711710.1%
 
0.836607813810.1%
 
0.545620441410.1%
 
-0.514366209510.1%
 
-1.2709137210.1%
 
0.417284399310.1%
 
-1.36190712510.1%
 
-0.421388417510.1%
 
-0.875683784510.1%
 
-1.11582410310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.72367644310.1%
 
-1.7230633510.1%
 
-1.7128250610.1%
 
-1.70763301810.1%
 
-1.70608401310.1%
 
-1.70353531810.1%
 
-1.69980502110.1%
 
-1.69780397410.1%
 
-1.69196248110.1%
 
-1.68281674410.1%
 
ValueCountFrequency (%) 
1.78967189810.1%
 
1.78517377410.1%
 
1.77839469910.1%
 
1.77435362310.1%
 
1.77169489910.1%
 
1.7673195610.1%
 
1.76158392410.1%
 
1.75278663610.1%
 
1.72702765510.1%
 
1.71861076410.1%
 

oz18
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.2551900026025465e-09
Minimum-1.694313883781433
Maximum1.6396993398666382
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:37:30.911560image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.694313884
5-th percentile-1.576353139
Q1-0.901832819
median0.02869504504
Q30.9022376388
95-th percentile1.501772082
Maximum1.63969934
Range3.334013224
Interquartile range (IQR)1.804070458

Descriptive statistics

Standard deviation0.9999999997
Coefficient of variation (CV)-796692132.3
Kurtosis-1.256375114
Mean-1.255190003e-09
Median Absolute Deviation (MAD)0.8965646327
Skewness-0.04809033483
Sum-1.255190003e-06
Variance0.9999999993
2020-08-25T00:37:31.015992image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.623014926910.1%
 
-1.59894108810.1%
 
0.715873777910.1%
 
0.0164395403110.1%
 
1.27990400810.1%
 
0.870233476210.1%
 
1.39586734810.1%
 
0.369474351410.1%
 
-0.439126789610.1%
 
-0.00731912627810.1%
 
0.763740301110.1%
 
-1.10285794710.1%
 
-0.98177450910.1%
 
1.33331811410.1%
 
0.267621010510.1%
 
1.15753233410.1%
 
1.462155710.1%
 
-0.0441075228210.1%
 
0.86270940310.1%
 
1.32158303310.1%
 
0.161779716610.1%
 
-0.606099486410.1%
 
0.612302064910.1%
 
-1.6055531510.1%
 
1.06765866310.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.69431388410.1%
 
-1.69318425710.1%
 
-1.69296097810.1%
 
-1.69196057310.1%
 
-1.68891704110.1%
 
-1.68695712110.1%
 
-1.68551814610.1%
 
-1.67956340310.1%
 
-1.67749607610.1%
 
-1.67478251510.1%
 
ValueCountFrequency (%) 
1.6396993410.1%
 
1.63839900510.1%
 
1.63567066210.1%
 
1.63383865410.1%
 
1.62448573110.1%
 
1.62432980510.1%
 
1.62349414810.1%
 
1.62183356310.1%
 
1.62017595810.1%
 
1.61647665510.1%
 

oz22
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-8.849601726979017e-10
Minimum-1.7671605348587036
Maximum1.7212332487106323
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:37:31.133912image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.767160535
5-th percentile-1.580125904
Q1-0.8909944147
median0.01791408844
Q30.8664452583
95-th percentile1.54973225
Maximum1.721233249
Range3.488393784
Interquartile range (IQR)1.757439673

Descriptive statistics

Standard deviation1
Coefficient of variation (CV)-1129994356
Kurtosis-1.183432581
Mean-8.849601727e-10
Median Absolute Deviation (MAD)0.8803764265
Skewness-0.02353649042
Sum-8.849601727e-07
Variance1
2020-08-25T00:37:31.238698image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.75000262310.1%
 
1.51688182410.1%
 
-0.660811245410.1%
 
-1.21615207210.1%
 
1.5677013410.1%
 
-0.883459806410.1%
 
0.604161381710.1%
 
1.477840910.1%
 
1.60674405110.1%
 
-1.24414682410.1%
 
-0.66665184510.1%
 
0.677459776410.1%
 
-1.59111154110.1%
 
0.940083861410.1%
 
-1.48311519610.1%
 
0.147129014110.1%
 
0.875603616210.1%
 
-1.00124740610.1%
 
-0.973279714610.1%
 
1.57155740310.1%
 
0.101151838910.1%
 
-1.06373953810.1%
 
0.0241891741810.1%
 
1.19798994110.1%
 
-0.0773273780910.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.76716053510.1%
 
-1.76672005710.1%
 
-1.76245427110.1%
 
-1.76102554810.1%
 
-1.75966119810.1%
 
-1.75480055810.1%
 
-1.75400841210.1%
 
-1.75000262310.1%
 
-1.74710428710.1%
 
-1.74536299710.1%
 
ValueCountFrequency (%) 
1.72123324910.1%
 
1.71821045910.1%
 
1.71508085710.1%
 
1.71110141310.1%
 
1.70843696610.1%
 
1.69041478610.1%
 
1.68963146210.1%
 
1.68770694710.1%
 
1.68372225810.1%
 
1.67547285610.1%
 

oz19
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.720679372549057e-11
Minimum-1.6788747310638428
Maximum1.721388578414917
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:37:31.352600image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.678874731
5-th percentile-1.530075085
Q1-0.905023247
median0.01318591135
Q30.8495492786
95-th percentile1.558484787
Maximum1.721388578
Range3.400263309
Interquartile range (IQR)1.754572526

Descriptive statistics

Standard deviation0.9999999994
Coefficient of variation (CV)1.028734681e+10
Kurtosis-1.206209969
Mean9.720679373e-11
Median Absolute Deviation (MAD)0.8845439851
Skewness0.01883493761
Sum9.720679373e-08
Variance0.9999999988
2020-08-25T00:37:31.463434image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.365666031810.1%
 
-0.297176808110.1%
 
0.563127160110.1%
 
0.574844121910.1%
 
0.187336534310.1%
 
0.425115019110.1%
 
-0.677974224110.1%
 
-1.51048803310.1%
 
1.38794875110.1%
 
-0.6470972310.1%
 
-0.792670011510.1%
 
0.814547359910.1%
 
-0.727171599910.1%
 
-0.94201397910.1%
 
0.544241428410.1%
 
0.915741026410.1%
 
1.63786184810.1%
 
0.927854657210.1%
 
-0.925181388910.1%
 
-0.422172933810.1%
 
-0.286429405210.1%
 
0.543561339410.1%
 
-1.64180755610.1%
 
-0.207371860710.1%
 
0.61317813410.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-1.67887473110.1%
 
-1.67747902910.1%
 
-1.67662191410.1%
 
-1.67442035710.1%
 
-1.67392945310.1%
 
-1.66742622910.1%
 
-1.66653251610.1%
 
-1.66522061810.1%
 
-1.66496419910.1%
 
-1.664596210.1%
 
ValueCountFrequency (%) 
1.72138857810.1%
 
1.71916556410.1%
 
1.71552944210.1%
 
1.71230673810.1%
 
1.71220803310.1%
 
1.71151924110.1%
 
1.70892846610.1%
 
1.70123696310.1%
 
1.69911646810.1%
 
1.69619405310.1%
 

target
Real number (ℝ)

UNIQUE

Distinct count1000
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.55419784784317e-10
Minimum-2.65433931350708
Maximum2.68631911277771
Zeros0
Zeros (%)0.0%
Memory size7.9 KiB
2020-08-25T00:37:31.584247image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-2.654339314
5-th percentile-1.817060417
Q1-0.6822279692
median0.1113225259
Q30.7462388128
95-th percentile1.462299258
Maximum2.686319113
Range5.340658426
Interquartile range (IQR)1.428466782

Descriptive statistics

Standard deviation0.9999999975
Coefficient of variation (CV)1169016681
Kurtosis-0.485161239
Mean8.554197848e-10
Median Absolute Deviation (MAD)0.7067517675
Skewness-0.3648757623
Sum8.554197848e-07
Variance0.9999999949
2020-08-25T00:37:31.690578image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.16015887310.1%
 
-0.337242722510.1%
 
0.670604765410.1%
 
0.711619794410.1%
 
1.41660726110.1%
 
0.388034790810.1%
 
1.45057117910.1%
 
0.341675072910.1%
 
-0.871067285510.1%
 
0.192732274510.1%
 
-0.25130936510.1%
 
1.39769387210.1%
 
1.42320132310.1%
 
2.01045250910.1%
 
1.53256857410.1%
 
-1.9635306610.1%
 
-0.829556226710.1%
 
-1.38021683710.1%
 
-1.42708826110.1%
 
-0.701824188210.1%
 
1.40160584410.1%
 
-0.712628066510.1%
 
-0.270831644510.1%
 
0.858068823810.1%
 
1.35285198710.1%
 
Other values (975)97597.5%
 
ValueCountFrequency (%) 
-2.65433931410.1%
 
-2.59595751810.1%
 
-2.49853396410.1%
 
-2.49096155210.1%
 
-2.47231268910.1%
 
-2.46564364410.1%
 
-2.43156385410.1%
 
-2.35843539210.1%
 
-2.34088754710.1%
 
-2.30590128910.1%
 
ValueCountFrequency (%) 
2.68631911310.1%
 
2.1755580910.1%
 
2.14531850810.1%
 
2.02545499810.1%
 
2.01045250910.1%
 
1.99661350310.1%
 
1.96958494210.1%
 
1.92142784610.1%
 
1.85735607110.1%
 
1.81782460210.1%
 

Interactions

2020-08-25T00:36:18.675486image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:18.839103image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:19.000667image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:19.156640image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:19.318456image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:19.482991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:19.642726image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:19.804704image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:19.968101image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:20.133482image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:20.299515image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:20.462509image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:20.625849image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:20.788431image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:20.951266image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:21.122591image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:21.287278image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:21.450187image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:21.615899image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:21.956709image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:22.113828image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:22.281394image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:22.446533image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:22.608470image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:22.776566image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:22.941275image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:23.111295image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:23.280711image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:23.447886image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:23.619213image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:23.785029image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:23.950017image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:24.118270image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:24.281320image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:24.444894image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:24.612747image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:24.782307image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:24.947574image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:25.113265image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:25.276389image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:25.432003image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:25.584687image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:25.750614image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:25.899588image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:26.055396image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:26.208903image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:26.364578image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:26.516122image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:26.667787image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:26.983760image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:27.136152image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:27.288117image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:27.437128image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:27.588585image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:27.737161image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:27.887213image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:28.040317image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:28.192582image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:28.346136image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:28.497938image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:28.642324image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:28.805384image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:28.967979image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:29.123824image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:29.287883image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:29.451199image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:29.622297image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:29.786275image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:29.948678image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:30.113063image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:30.279718image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:30.442205image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:30.605960image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:30.774119image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:36:30.942027image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T00:37:06.212001image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:06.542971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:06.695334image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:06.860752image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:07.024057image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:07.187177image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:07.349961image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:07.515134image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:07.677533image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:07.839052image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:08.002405image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:08.164946image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:08.332135image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:08.494172image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:08.658245image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:08.825841image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:08.988602image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:09.149255image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:09.329521image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:09.485277image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:09.648457image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:09.814337image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:09.969377image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:10.133487image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:10.300521image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:10.463382image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:10.625374image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:10.788480image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:10.954972image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:11.118430image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:11.472675image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:11.635080image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:11.801225image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:11.966534image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:12.129837image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:12.292813image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:12.461167image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:12.626208image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:12.788261image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:12.954442image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:13.120300image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:13.284726image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:13.442181image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:13.605650image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:13.786984image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:13.953291image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:14.116350image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:14.281894image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:14.452619image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:14.615721image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:14.779772image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:14.945062image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:15.111823image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:15.276265image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:15.440298image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:15.602530image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:15.764114image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:15.928361image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:16.090014image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:16.410687image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:16.571389image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:16.731903image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:16.890479image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:17.055395image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:17.217063image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:17.379485image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:17.546182image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:17.709780image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:17.874585image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:18.038725image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:18.201754image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:18.369612image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:18.538491image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:18.702629image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:18.864360image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:19.027905image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:19.194150image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:19.357904image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:19.523218image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:19.679345image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:19.843700image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:20.009735image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:20.166779image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:20.332861image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:20.498206image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:20.661731image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:20.829616image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:20.993808image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:21.362090image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:21.526726image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:21.687915image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:21.852622image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:22.022138image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:22.187127image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:22.352780image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:22.517687image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:22.680432image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:22.843989image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:23.006378image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:23.160775image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:23.312897image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:23.464570image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:23.607704image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:23.769361image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:23.921121image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:24.073936image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:24.225129image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:24.390334image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:24.542009image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:24.693210image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:24.844157image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:24.995733image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:25.154268image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:25.306764image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:25.457419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:25.609477image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:25.761433image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:25.911991image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:26.227241image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T00:37:31.841317image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T00:37:32.145959image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T00:37:32.448634image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T00:37:32.923238image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T00:37:26.519909image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T00:37:26.997107image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
00.8610590.833546-1.619737-0.264632-1.2994710.759529-0.984375-0.981540-0.077130-1.012735-1.608968-0.2392191.264371-0.987330-0.2209281.6468311.600962-0.997685-1.3754790.038122
1-0.419586-0.749193-1.1557940.4978430.819012-0.315395-1.039113-1.311780-1.601046-0.614850-0.5984770.445355-1.303879-0.8054630.057797-0.313052-1.6919611.374777-0.833525-0.457472
20.7560781.256216-0.322434-0.218867-0.998006-1.4580151.552681-1.108151-0.4878240.9621361.5065800.987210-0.8650981.565567-0.7538881.1375100.141181-0.1142511.5695371.423201
30.060727-0.9778131.612236-0.0364821.705076-0.166637-1.5069171.330535-0.059299-0.1318740.8281100.576534-0.1612821.7147851.3763441.6174131.0581621.2905861.5505331.461199
4-1.3282870.238247-2.3028931.4418070.383712-0.6655190.667684-1.634866-1.7012271.483295-1.2982100.452850-1.7081360.5325631.514778-0.071087-0.5272411.076045-1.2983490.536449
5-0.3440781.331148-1.369256-1.330818-0.909011-0.532041-1.579288-1.502429-0.9672371.297293-0.2537060.2223750.0798550.0954111.6279481.2145380.2128081.206906-0.2535470.096176
60.6164541.2861561.103011-0.1803500.447845-0.027235-1.2994710.9693911.1948370.7329880.465758-0.8485401.200500-0.3485260.484807-1.6541181.099403-1.7253820.471466-1.658656
70.2175201.061621-2.040501-0.049847-0.2064100.308525-0.822995-1.642013-1.393945-0.564005-1.352363-0.164626-1.4452141.2936040.190130-1.301463-0.752460-0.5471191.7122080.649365
8-0.340236-0.4932830.667655-0.4891081.4794691.015218-0.8170361.1277570.182349-1.633280-0.2473571.280634-0.3752870.7482120.138796-0.343214-1.0797400.101231-0.294280-1.368006
9-1.5206871.1794511.3665250.382485-1.0633291.739784-0.7465481.630717-1.711593-1.4770090.2120430.6056720.020670-1.162736-1.5938661.5478581.484808-1.117472-0.147868-0.099758

Last rows

oz9oz17oz1oz24oz12oz10oz14oz2oz23oz6oz3oz13oz16oz4oz5oz21oz18oz22oz19target
990-0.3523250.6997220.4404040.5266631.1757351.4661540.0986471.1296960.8501121.294254-1.6695010.821954-0.998774-1.707086-0.9036981.7166450.5698910.001616-1.677479-2.072457
991-0.898363-0.4953950.674308-0.219382-0.2283041.5962751.5444350.663442-0.048944-1.5468130.392567-0.711148-0.3309070.425583-1.653868-1.1871711.5530141.4820050.411488-1.900180
9921.1126760.1686231.8973920.276893-0.7929561.1592300.2815391.1553420.6642981.5620361.447537-1.396168-0.1104630.7311310.417731-1.4632761.191863-0.503904-1.6766221.329891
9930.370675-1.431453-1.351768-1.2875781.4213630.3379880.108056-1.030552-1.393990-1.470218-0.8605030.069331-0.0726700.943402-0.435294-1.518909-1.0946921.382114-1.1242500.217485
994-0.509925-1.6043701.134769-0.701434-1.377200-1.623153-1.3191410.980753-0.3015521.5306650.4540071.1151120.653652-0.653926-0.068511-0.806952-1.3435140.635114-1.027065-1.804085
9950.779590-1.415084-2.2245330.4957861.2464060.0864501.597946-1.6807081.239120-1.249206-1.3323970.8545640.914559-0.1534501.115811-1.365229-0.920083-0.431850-0.807667-0.098563
996-1.0878311.294178-1.3300210.9733371.6627961.708156-0.022189-1.459742-1.621883-0.105989-0.0755070.3144310.2243160.714749-0.0448141.679202-0.044108-1.353587-0.410093-0.463551
9970.1098621.0436850.7177650.4812771.612587-1.003235-1.1329661.5604690.847470-0.232803-1.675671-1.2766090.995082-0.8694331.066715-0.3584021.2257021.4308211.475316-0.599826
9980.092364-0.2697260.164037-1.625716-1.460587-0.6387050.198329-0.507494-0.038216-1.5656910.991383-0.057736-0.805548-0.3174150.122652-0.164130-0.0177871.194882-0.6511830.917912
9990.291028-0.1621891.3226200.8728480.959781-1.179809-0.6387160.897863-1.1819190.0243271.1274711.083926-1.5374801.4994991.361389-1.2709140.183891-0.8808450.636967-0.374325